KickstarterEDA

Dataset statistics

Number of variables	20
Number of observations	1163
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	181.8 KiB
Average record size in memory	160.1 B

Variable types

Boolean	1
Text	2
Categorical	5
Numeric	12

Alerts

`Year` has constant value ""	Constant
`Goal` is highly skewed (γ1 = 28.63807862)	Skewed
`Min Pledge Tiers` is highly skewed (γ1 = 22.66496847)	Skewed
`URL` has unique values	Unique
`Title` has unique values	Unique
`Backed Projects` has 697 (59.9%) zeros	Zeros
`Previous Projects` has 902 (77.6%) zeros	Zeros
`Images` has 456 (39.2%) zeros	Zeros
`Videos` has 401 (34.5%) zeros	Zeros

Reproduction

Analysis started	2024-04-14 16:53:44.236284
Analysis finished	2024-04-14 16:54:00.736252
Duration	16.5 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

Funded
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

False	685
True	478

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	685	58.9%
True	478	41.1%

URL
Text

UNIQUE

Distinct	1163
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

Length

Max length	105
Median length	88
Mean length	79.439381
Min length	48

Characters and Unicode

Total characters	92388
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1163 ?
Unique (%)	100.0%

Sample

1st row	https://www.kickstarter.com/projects/mischaa/pixelstart-choose-your-own-pixels
2nd row	https://www.kickstarter.com/projects/1055874454/smart-shop-icons
3rd row	https://www.kickstarter.com/projects/minimalprints/minimal-haus-prints-digital-prints-for-diy-wall-ar
4th row	https://www.kickstarter.com/projects/797661619/neon-altering-the-alternative
5th row	https://www.kickstarter.com/projects/1983693599/nintendo-nes-8bit-retro-canvas

Value	Count	Frequency (%)
https://www.kickstarter.com/projects/mischaa/pixelstart-choose-your-own-pixels	1	0.1%
https://www.kickstarter.com/projects/1696119948/brighton-fine-art-painting-degree-show	1	0.1%
https://www.kickstarter.com/projects/797661619/neon-altering-the-alternative	1	0.1%
https://www.kickstarter.com/projects/1983693599/nintendo-nes-8bit-retro-canvas	1	0.1%
https://www.kickstarter.com/projects/463662725/day-and-night-cards	1	0.1%
https://www.kickstarter.com/projects/jforwoodart/fund-an-art-show-and-beyond-for-jeff-forwood	1	0.1%
https://www.kickstarter.com/projects/109608826/trump-that-t-are-hilarious-creative-and-beautiful	1	0.1%
https://www.kickstarter.com/projects/299469641/pens-and-pedals	1	0.1%
https://www.kickstarter.com/projects/cowgirlem/once-upon-a-picture	1	0.1%
https://www.kickstarter.com/projects/1108038598/kokoro	1	0.1%
Other values (1153)	1153	99.1%

Most occurring characters

Value	Count	Frequency (%)
t	8415	9.1%
e	6115	6.6%
r	6021	6.5%
/	5815	6.3%
s	5626	6.1%
-	4946	5.4%
o	4925	5.3%
c	4793	5.2%
a	4178	4.5%
w	3991	4.3%
Other values (30)	37563	40.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	92388	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	8415	9.1%
e	6115	6.6%
r	6021	6.5%
/	5815	6.3%
s	5626	6.1%
-	4946	5.4%
o	4925	5.3%
c	4793	5.2%
a	4178	4.5%
w	3991	4.3%
Other values (30)	37563	40.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	92388	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	8415	9.1%
e	6115	6.6%
r	6021	6.5%
/	5815	6.3%
s	5626	6.1%
-	4946	5.4%
o	4925	5.3%
c	4793	5.2%
a	4178	4.5%
w	3991	4.3%
Other values (30)	37563	40.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	92388	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	8415	9.1%
e	6115	6.6%
r	6021	6.5%
/	5815	6.3%
s	5626	6.1%
-	4946	5.4%
o	4925	5.3%
c	4793	5.2%
a	4178	4.5%
w	3991	4.3%
Other values (30)	37563	40.7%

Title
Text

UNIQUE

Distinct	1163
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

Length

Max length	80
Median length	52
Mean length	35.918315
Min length	1

Characters and Unicode

Total characters	41773
Distinct characters	87
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1163 ?
Unique (%)	100.0%

Sample

1st row	Pixelstart: Choose Your Own Pixels (Canceled)
2nd row	Smart shop Icons (Canceled)
3rd row	Minimal Haus Prints: Digital Prints for DIY Wall ART
4th row	NeoN: Altering the Alternative (Canceled)
5th row	Nintendo NES 8bit retro canvas (Canceled)

Value	Count	Frequency (%)
	318	4.8%
the	259	3.9%
a	145	2.2%
for	114	1.7%
canceled	88	1.3%
and	69	1.0%
of	69	1.0%
to	64	1.0%
your	57	0.9%
app	54	0.8%
Other values (3167)	5373	81.3%

Most occurring characters

Value	Count	Frequency (%)
	5445	13.0%
e	3616	8.7%
a	2406	5.8%
o	2308	5.5%
r	2192	5.2%
i	2184	5.2%
t	2112	5.1%
n	1988	4.8%
s	1505	3.6%
l	1476	3.5%
Other values (77)	16541	39.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41773	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5445	13.0%
e	3616	8.7%
a	2406	5.8%
o	2308	5.5%
r	2192	5.2%
i	2184	5.2%
t	2112	5.1%
n	1988	4.8%
s	1505	3.6%
l	1476	3.5%
Other values (77)	16541	39.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41773	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5445	13.0%
e	3616	8.7%
a	2406	5.8%
o	2308	5.5%
r	2192	5.2%
i	2184	5.2%
t	2112	5.1%
n	1988	4.8%
s	1505	3.6%
l	1476	3.5%
Other values (77)	16541	39.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41773	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5445	13.0%
e	3616	8.7%
a	2406	5.8%
o	2308	5.5%
r	2192	5.2%
i	2184	5.2%
t	2112	5.1%
n	1988	4.8%
s	1505	3.6%
l	1476	3.5%
Other values (77)	16541	39.6%

Year
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

2016	1163

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	4652
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2016	1163	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2016	1163	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	1163	25.0%
0	1163	25.0%
1	1163	25.0%
6	1163	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4652	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	1163	25.0%
0	1163	25.0%
1	1163	25.0%
6	1163	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4652	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	1163	25.0%
0	1163	25.0%
1	1163	25.0%
6	1163	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4652	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	1163	25.0%
0	1163	25.0%
1	1163	25.0%
6	1163	25.0%

Month
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

Mar	823
Apr	185
Feb	151
May	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3489
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Apr
2nd row	Apr
3rd row	Apr
4th row	Mar
5th row	Mar

Common Values

Value	Count	Frequency (%)
Mar	823	70.8%
Apr	185	15.9%
Feb	151	13.0%
May	4	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mar	823	70.8%
apr	185	15.9%
feb	151	13.0%
may	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
r	1008	28.9%
M	827	23.7%
a	827	23.7%
A	185	5.3%
p	185	5.3%
F	151	4.3%
e	151	4.3%
b	151	4.3%
y	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3489	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1008	28.9%
M	827	23.7%
a	827	23.7%
A	185	5.3%
p	185	5.3%
F	151	4.3%
e	151	4.3%
b	151	4.3%
y	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3489	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1008	28.9%
M	827	23.7%
a	827	23.7%
A	185	5.3%
p	185	5.3%
F	151	4.3%
e	151	4.3%
b	151	4.3%
y	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3489	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1008	28.9%
M	827	23.7%
a	827	23.7%
A	185	5.3%
p	185	5.3%
F	151	4.3%
e	151	4.3%
b	151	4.3%
y	4	0.1%

Type
Categorical

Distinct	7
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

Video	244
Design	197
Crafts	172
Apps	172
Software	149
Other values (2)	229

Length

Max length	8
Median length	7
Mean length	5.4729149
Min length	3

Characters and Unicode

Total characters	6365
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Art
2nd row	Art
3rd row	Art
4th row	Art
5th row	Art

Common Values

Value	Count	Frequency (%)
Video	244	21.0%
Design	197	16.9%
Crafts	172	14.8%
Apps	172	14.8%
Software	149	12.8%
Art	138	11.9%
Gadgets	91	7.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
video	244	21.0%
design	197	16.9%
crafts	172	14.8%
apps	172	14.8%
software	149	12.8%
art	138	11.9%
gadgets	91	7.8%

Most occurring characters

Value	Count	Frequency (%)
e	681	10.7%
s	632	9.9%
t	550	8.6%
r	459	7.2%
i	441	6.9%
a	412	6.5%
o	393	6.2%
p	344	5.4%
d	335	5.3%
f	321	5.0%
Other values (9)	1797	28.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6365	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	681	10.7%
s	632	9.9%
t	550	8.6%
r	459	7.2%
i	441	6.9%
a	412	6.5%
o	393	6.2%
p	344	5.4%
d	335	5.3%
f	321	5.0%
Other values (9)	1797	28.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6365	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	681	10.7%
s	632	9.9%
t	550	8.6%
r	459	7.2%
i	441	6.9%
a	412	6.5%
o	393	6.2%
p	344	5.4%
d	335	5.3%
f	321	5.0%
Other values (9)	1797	28.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6365	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	681	10.7%
s	632	9.9%
t	550	8.6%
r	459	7.2%
i	441	6.9%
a	412	6.5%
o	393	6.2%
p	344	5.4%
d	335	5.3%
f	321	5.0%
Other values (9)	1797	28.2%

Has FB
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

1	599
0	564

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1163
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Most occurring characters

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	599	51.5%
0	564	48.5%

Backed Projects
Real number (ℝ)

ZEROS

Distinct	54
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9982803

Minimum	0
Maximum	348
Zeros	697
Zeros (%)	59.9%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	18
Maximum	348
Range	348
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	15.350523
Coefficient of variation (CV)	3.8392813
Kurtosis	236.42687
Mean	3.9982803
Median Absolute Deviation (MAD)	0
Skewness	12.63085
Sum	4650
Variance	235.63855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	697	59.9%
1	127	10.9%
2	62	5.3%
3	46	4.0%
5	32	2.8%
4	27	2.3%
6	21	1.8%
8	14	1.2%
11	12	1.0%
7	11	0.9%
Other values (44)	114	9.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	697	59.9%
1	127	10.9%
2	62	5.3%
3	46	4.0%
4	27	2.3%
5	32	2.8%
6	21	1.8%
7	11	0.9%
8	14	1.2%
9	8	0.7%

Value	Count	Frequency (%)
348	1	0.1%
151	1	0.1%
143	1	0.1%
107	2	0.2%
104	1	0.1%
99	1	0.1%
79	1	0.1%
70	1	0.1%
57	2	0.2%
55	1	0.1%

Previous Projects
Real number (ℝ)

ZEROS

Distinct	21
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8194325

Minimum	0
Maximum	29
Zeros	902
Zeros (%)	77.6%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	29
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.4187451
Coefficient of variation (CV)	2.9517319
Kurtosis	55.034518
Mean	0.8194325
Median Absolute Deviation (MAD)	0
Skewness	6.3879544
Sum	953
Variance	5.8503277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	902	77.6%
2	156	13.4%
3	44	3.8%
4	22	1.9%
6	7	0.6%
5	7	0.6%
8	4	0.3%
9	4	0.3%
10	2	0.2%
29	2	0.2%
Other values (11)	13	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	902	77.6%
2	156	13.4%
3	44	3.8%
4	22	1.9%
5	7	0.6%
6	7	0.6%
7	1	0.1%
8	4	0.3%
9	4	0.3%
10	2	0.2%

Value	Count	Frequency (%)
29	2	0.2%
24	1	0.1%
23	1	0.1%
20	1	0.1%
18	1	0.1%
17	1	0.1%
16	1	0.1%
14	1	0.1%
13	1	0.1%
12	2	0.2%

Creator Desc Len
Real number (ℝ)

Distinct	468
Distinct (%)	40.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	360.89854

Minimum	0
Maximum	757
Zeros	9
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0
5-th percentile	62.1
Q1	221
median	403
Q3	504
95-th percentile	538
Maximum	757
Range	757
Interquartile range (IQR)	283

Descriptive statistics

Standard deviation	167.45493
Coefficient of variation (CV)	0.46399449
Kurtosis	-1.0111924
Mean	360.89854
Median Absolute Deviation (MAD)	110
Skewness	-0.46850716
Sum	419725
Variance	28041.155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
500	33	2.8%
499	31	2.7%
498	28	2.4%
507	19	1.6%
506	18	1.5%
505	17	1.5%
511	16	1.4%
503	16	1.4%
504	15	1.3%
514	15	1.3%
Other values (458)	955	82.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	0.8%
3	1	0.1%
6	1	0.1%
9	1	0.1%
10	2	0.2%
12	1	0.1%
13	1	0.1%
18	1	0.1%
19	1	0.1%
21	1	0.1%

Value	Count	Frequency (%)
757	1	0.1%
747	1	0.1%
705	1	0.1%
679	1	0.1%
677	1	0.1%
670	2	0.2%
668	1	0.1%
667	1	0.1%
661	1	0.1%
660	1	0.1%

Title Len
Real number (ℝ)

Distinct	73
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.725709

Minimum	1
Maximum	82
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	21
median	37
Q3	53
95-th percentile	61
Maximum	82
Range	81
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	17.843783
Coefficient of variation (CV)	0.48586627
Kurtosis	-1.22148
Mean	36.725709
Median Absolute Deviation (MAD)	16
Skewness	-0.056497487
Sum	42712
Variance	318.4006
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	45	3.9%
60	41	3.5%
16	35	3.0%
58	32	2.8%
55	31	2.7%
53	30	2.6%
57	28	2.4%
30	27	2.3%
18	24	2.1%
48	23	2.0%
Other values (63)	847	72.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
3	2	0.2%
4	3	0.3%
5	6	0.5%
6	13	1.1%
7	11	0.9%
8	18	1.5%
9	18	1.5%
10	17	1.5%
11	19	1.6%

Value	Count	Frequency (%)
82	1	0.1%
80	1	0.1%
73	1	0.1%
72	2	0.2%
71	3	0.3%
69	4	0.3%
68	3	0.3%
67	4	0.3%
66	6	0.5%
65	1	0.1%

Goal
Real number (ℝ)

SKEWED

Distinct	342
Distinct (%)	29.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39378.702

Minimum	10
Maximum	10000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	10
5-th percentile	400
Q1	1874.835
median	7000
Q3	22636.7
95-th percentile	124012.76
Maximum	10000000
Range	9999990
Interquartile range (IQR)	20761.865

Descriptive statistics

Standard deviation	311854.37
Coefficient of variation (CV)	7.9193663
Kurtosis	900.95392
Mean	39378.702
Median Absolute Deviation (MAD)	6001
Skewness	28.638079
Sum	45797431
Variance	9.7253147 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	63	5.4%
10000	58	5.0%
1000	45	3.9%
15000	39	3.4%
25000	33	2.8%
20000	32	2.8%
30000	29	2.5%
3000	25	2.1%
50000	24	2.1%
1500	22	1.9%
Other values (332)	793	68.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	2	0.2%
15.32	1	0.1%
56.59	1	0.1%
64.76	1	0.1%
76.62	1	0.1%
100	7	0.6%
113.18	2	0.2%
120	1	0.1%
143.91	4	0.3%
150	2	0.2%

Value	Count	Frequency (%)
10000000	1	0.1%
2500000	1	0.1%
1131835	1	0.1%
1000000	1	0.1%
905468	1	0.1%
747011.1	1	0.1%
719547.5	1	0.1%
565917.5	1	0.1%
500000	3	0.3%
494270	1	0.1%

Duration
Real number (ℝ)

Distinct	52
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.655202

Minimum	4
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	4
5-th percentile	16
Q1	30
median	30
Q3	35
95-th percentile	60
Maximum	62
Range	58
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	11.534306
Coefficient of variation (CV)	0.34271986
Kurtosis	0.82260077
Mean	33.655202
Median Absolute Deviation (MAD)	1
Skewness	0.96773294
Sum	39141
Variance	133.04022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	570	49.0%
60	116	10.0%
45	59	5.1%
40	37	3.2%
31	36	3.1%
35	34	2.9%
21	24	2.1%
28	23	2.0%
15	22	1.9%
25	21	1.8%
Other values (42)	221	19.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.1%
7	6	0.5%
8	2	0.2%
9	2	0.2%
10	5	0.4%
13	1	0.1%
14	14	1.2%
15	22	1.9%
16	7	0.6%
17	5	0.4%

Value	Count	Frequency (%)
62	1	0.1%
60	116	10.0%
59	3	0.3%
58	3	0.3%
57	2	0.2%
56	1	0.1%
55	2	0.2%
54	2	0.2%
53	2	0.2%
51	4	0.3%

Pledge Levels
Real number (ℝ)

Distinct	35
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.1633706

Minimum	1
Maximum	89
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	10
95-th percentile	17
Maximum	89
Range	88
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.8528249
Coefficient of variation (CV)	0.81704901
Kurtosis	35.376501
Mean	7.1633706
Median Absolute Deviation (MAD)	3
Skewness	3.592076
Sum	8331
Variance	34.255559
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
1	146	12.6%
7	104	8.9%
4	103	8.9%
5	100	8.6%
6	99	8.5%
3	94	8.1%
2	74	6.4%
8	72	6.2%
9	70	6.0%
10	64	5.5%
Other values (25)	237	20.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	146	12.6%
2	74	6.4%
3	94	8.1%
4	103	8.9%
5	100	8.6%
6	99	8.5%
7	104	8.9%
8	72	6.2%
9	70	6.0%
10	64	5.5%

Value	Count	Frequency (%)
89	1	0.1%
42	1	0.1%
38	1	0.1%
32	2	0.2%
31	1	0.1%
30	1	0.1%
29	1	0.1%
28	2	0.2%
27	3	0.3%
26	2	0.2%

Min Pledge Tiers
Real number (ℝ)

SKEWED

Distinct	112
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.526999

Minimum	0.7
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0.7
5-th percentile	1
Q1	1.13
median	5
Q3	14
95-th percentile	100
Maximum	10000
Range	9999.3
Interquartile range (IQR)	12.87

Descriptive statistics

Standard deviation	373.74262
Coefficient of variation (CV)	9.7007977
Kurtosis	553.23533
Mean	38.526999
Median Absolute Deviation (MAD)	4
Skewness	22.664968
Sum	44806.9
Variance	139683.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	228	19.6%
5	188	16.2%
10	145	12.5%
25	69	5.9%
7	42	3.6%
4	34	2.9%
15	31	2.7%
2	26	2.2%
20	25	2.1%
6	23	2.0%
Other values (102)	352	30.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.7	1	0.1%
0.71	1	0.1%
0.72	2	0.2%
0.73	2	0.2%
0.74	2	0.2%
0.75	3	0.3%
0.76	11	0.9%
0.77	5	0.4%
0.78	1	0.1%
1	228	19.6%

Value	Count	Frequency (%)
10000	1	0.1%
7237	1	0.1%
1690	1	0.1%
1450	1	0.1%
1000	3	0.3%
658	1	0.1%
600	1	0.1%
500	5	0.4%
364	1	0.1%
362	1	0.1%

Max Pledge Tiers
Real number (ℝ)

Distinct	379
Distinct (%)	32.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1387.3052

Minimum	0.76
Maximum	25000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0.76
5-th percentile	11
Q1	75.5
median	310
Q3	1000
95-th percentile	7889.9
Maximum	25000
Range	24999.24
Interquartile range (IQR)	924.5

Descriptive statistics

Standard deviation	2539.2134
Coefficient of variation (CV)	1.8303207
Kurtosis	10.418169
Mean	1387.3052
Median Absolute Deviation (MAD)	285
Skewness	2.8434437
Sum	1613435.9
Variance	6447604.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	92	7.9%
500	72	6.2%
100	70	6.0%
25	50	4.3%
10000	47	4.0%
5000	44	3.8%
50	29	2.5%
250	23	2.0%
10	23	2.0%
200	22	1.9%
Other values (369)	691	59.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.76	1	0.1%
1	12	1.0%
1.13	1	0.1%
4	4	0.3%
5	8	0.7%
6	1	0.1%
7	4	0.3%
8	2	0.2%
10	23	2.0%
11	6	0.5%

Value	Count	Frequency (%)
25000	1	0.1%
10000	47	4.0%
9999	1	0.1%
9994	1	0.1%
9950	1	0.1%
9900	1	0.1%
9750	1	0.1%
9000	2	0.2%
8000	2	0.2%
7900	1	0.1%

Proj Desc Len
Real number (ℝ)

Distinct	1081
Distinct (%)	92.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4095.0112

Minimum	59
Maximum	28293
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	59
5-th percentile	655.3
Q1	1499
median	2905
Q3	5572
95-th percentile	11423.6
Maximum	28293
Range	28234
Interquartile range (IQR)	4073

Descriptive statistics

Standard deviation	3735.9608
Coefficient of variation (CV)	0.91232005
Kurtosis	5.6460432
Mean	4095.0112
Median Absolute Deviation (MAD)	1704
Skewness	2.033854
Sum	4762498
Variance	13957403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1878	3	0.3%
1180	3	0.3%
2397	3	0.3%
1119	3	0.3%
1449	3	0.3%
930	2	0.2%
1934	2	0.2%
5893	2	0.2%
1752	2	0.2%
2979	2	0.2%
Other values (1071)	1138	97.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
59	1	0.1%
67	1	0.1%
110	1	0.1%
129	1	0.1%
191	1	0.1%
225	1	0.1%
240	1	0.1%
244	1	0.1%
248	1	0.1%
252	1	0.1%

Value	Count	Frequency (%)
28293	1	0.1%
24482	1	0.1%
23489	1	0.1%
23273	1	0.1%
21308	1	0.1%
21012	1	0.1%
20291	1	0.1%
20035	1	0.1%
20032	1	0.1%
18605	1	0.1%

Images
Real number (ℝ)

ZEROS

Distinct	64
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.8710232

Minimum	0
Maximum	95
Zeros	456
Zeros (%)	39.2%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	10
95-th percentile	35
Maximum	95
Range	95
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	12.270287
Coefficient of variation (CV)	1.5589189
Kurtosis	8.6959912
Mean	7.8710232
Median Absolute Deviation (MAD)	3
Skewness	2.6146067
Sum	9154
Variance	150.55994
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	456	39.2%
3	59	5.1%
6	50	4.3%
1	48	4.1%
5	47	4.0%
2	43	3.7%
8	39	3.4%
4	39	3.4%
7	38	3.3%
9	31	2.7%
Other values (54)	313	26.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	456	39.2%
1	48	4.1%
2	43	3.7%
3	59	5.1%
4	39	3.4%
5	47	4.0%
6	50	4.3%
7	38	3.3%
8	39	3.4%
9	31	2.7%

Value	Count	Frequency (%)
95	1	0.1%
83	1	0.1%
77	1	0.1%
74	1	0.1%
72	1	0.1%
70	1	0.1%
69	1	0.1%
64	1	0.1%
61	1	0.1%
60	1	0.1%

Videos
Real number (ℝ)

ZEROS

Distinct	12
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8194325

Minimum	0
Maximum	13
Zeros	401
Zeros (%)	34.5%
Negative	0
Negative (%)	0.0%
Memory size	9.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	2
Maximum	13
Range	13
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.97740428
Coefficient of variation (CV)	1.1927819
Kurtosis	44.837251
Mean	0.8194325
Median Absolute Deviation (MAD)	0
Skewness	4.9543186
Sum	953
Variance	0.95531913
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	666	57.3%
0	401	34.5%
2	57	4.9%
3	21	1.8%
4	8	0.7%
5	3	0.3%
7	2	0.2%
6	1	0.1%
9	1	0.1%
13	1	0.1%
Other values (2)	2	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	401	34.5%
1	666	57.3%
2	57	4.9%
3	21	1.8%
4	8	0.7%
5	3	0.3%
6	1	0.1%
7	2	0.2%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
13	1	0.1%
11	1	0.1%
10	1	0.1%
9	1	0.1%
7	2	0.2%
6	1	0.1%
5	3	0.3%
4	8	0.7%
3	21	1.8%
2	57	4.9%

Has Video
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.2 KiB

1	762
0	401

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1163
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Most occurring characters

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1163	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	762	65.5%
0	401	34.5%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Funded	URL	Title	Year	Month	Type	Has FB	Backed Projects	Previous Projects	Creator Desc Len	Title Len	Goal	Duration	Pledge Levels	Min Pledge Tiers	Max Pledge Tiers	Proj Desc Len	Images	Videos	Has Video
0	no	https://www.kickstarter.com/projects/mischaa/pixelstart-choose-your-own-pixels	Pixelstart: Choose Your Own Pixels (Canceled)	2016	Apr	Art	1	11	2	125	57	2829.59	53	7	1.14	171.0	2001	2	1	1
1	no	https://www.kickstarter.com/projects/1055874454/smart-shop-icons	Smart shop Icons (Canceled)	2016	Apr	Art	1	0	0	111	27	28295.87	51	3	1.14	46.0	2508	0	0	0
2	no	https://www.kickstarter.com/projects/minimalprints/minimal-haus-prints-digital-prints-for-diy-wall-ar	Minimal Haus Prints: Digital Prints for DIY Wall ART	2016	Apr	Art	0	4	0	294	52	766.25	30	8	1.51	755.0	2325	1	1	1
3	no	https://www.kickstarter.com/projects/797661619/neon-altering-the-alternative	NeoN: Altering the Alternative (Canceled)	2016	Mar	Art	0	0	0	179	41	1439.10	24	5	7.00	141.0	3736	13	1	1
4	no	https://www.kickstarter.com/projects/1983693599/nintendo-nes-8bit-retro-canvas	Nintendo NES 8bit retro canvas (Canceled)	2016	Mar	Art	0	0	0	51	41	1000.00	30	2	5.00	20.0	636	0	0	0
5	no	https://www.kickstarter.com/projects/463662725/day-and-night-cards	Day and Night Cards (Canceled)	2016	Mar	Art	0	0	0	162	30	800.00	28	1	10.00	10.0	1199	0	0	0
6	no	https://www.kickstarter.com/projects/jforwoodart/fund-an-art-show-and-beyond-for-jeff-forwood	Fund an Art Show and Beyond For Jeff Forwood (Canceled)	2016	Feb	Art	1	2	0	110	55	2000.00	50	9	5.00	500.0	2384	11	0	0
7	no	https://www.kickstarter.com/projects/109608826/trump-that-t-are-hilarious-creative-and-beautiful	Trump that T are hilarious\t creative\t and beautiful shirts	2016	Mar	Art	1	1	0	12	58	1000.00	30	3	1.00	30.0	1603	1	1	1
8	yes	https://www.kickstarter.com/projects/cowgirlem/once-upon-a-picture	Once Upon a Picture	2016	Apr	Art	1	4	0	285	19	1079.32	30	16	7.00	157.0	2397	9	1	1
9	yes	https://www.kickstarter.com/projects/10642514/under-the-hood-an-art-book-by-sean-gordon-murphy	Under the Hood: An Art book by Sean Gordon Murphy	2016	Apr	Art	1	12	8	55	49	10000.00	30	19	5.00	8000.0	1307	13	1	1

	Funded	URL	Title	Year	Month	Type	Has FB	Backed Projects	Previous Projects	Creator Desc Len	Title Len	Goal	Duration	Pledge Levels	Min Pledge Tiers	Max Pledge Tiers	Proj Desc Len	Images	Videos	Has Video
1153	no	https://www.kickstarter.com/projects/824780450/reallysend	ReallySend	2016	Mar	Software	1	3	0	601	10	47537.07	30	7	6.00	2777.0	7407	23	1	1
1154	no	https://www.kickstarter.com/projects/dharlaa/dharlaacom-answers-for-everyone	Dharlaa.com - Answers for everyone	2016	Mar	Software	1	0	0	498	34	83500.00	30	4	50.00	10000.0	20032	0	1	1
1155	no	https://www.kickstarter.com/projects/853681317/solidprojection-solidworks-to-unity3d-with-substan	SolidProjection SolidWorks to Unity3D with Substance Painter	2016	Mar	Software	0	0	0	488	60	766.25	30	5	151.00	151.0	1395	0	1	1
1156	no	https://www.kickstarter.com/projects/362792417/findclone-mobile-app	FindClone mobile app	2016	Mar	Software	1	0	0	55	20	28295.87	40	6	5.00	546.0	4362	11	1	1
1157	no	https://www.kickstarter.com/projects/1471372310/homesnipscom	HomeSnips.com	2016	Feb	Software	0	0	0	96	13	10000.00	60	1	100.00	100.0	2547	0	0	0
1158	no	https://www.kickstarter.com/projects/2045809865/qualia-os	Qualia OS	2016	Mar	Software	1	0	0	53	9	143909.50	30	2	14.00	143.0	508	0	0	0
1159	no	https://www.kickstarter.com/projects/1349408487/team-fastpad	Team FastPad	2016	Mar	Software	0	1	0	502	12	9950.00	30	5	5.00	1800.0	5958	3	1	1
1160	no	https://www.kickstarter.com/projects/ubergeekzone/foodme-rideshare-restaurant-delivery	FoodMe - Rideshare Restaurant Delivery	2016	Mar	Software	0	0	0	491	38	20000.00	30	2	15.00	25.0	1165	0	0	0
1161	no	https://www.kickstarter.com/projects/1233788194/free-coding-lesson-in-sydney	Free Coding Lesson in Sydney	2016	Feb	Software	0	2	0	513	28	3831.25	60	2	0.71	708.0	852	0	1	1
1162	no	https://www.kickstarter.com/projects/adamhenson/jillion-an-open-source-javascript-framework-for-ht	Jillion: An Open-Source JavaScript Framework for HTTP/2	2016	Mar	Software	1	0	4	253	55	25000.00	30	14	1.00	5000.0	3738	0	0	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category